---
title: "ReadMe file for replication files"
author: "Louisa Boulaziz"
date: "2025-03-10"
output: pdf_document
---

# Overview 

*This is the readme-file for the replication material for the manuscript: "Beyond the glass ceiling, more `housework'? Womens' work assignment, performance and influence in political institutions" published in The Journal of Politics.*


The replication files consists of 3 R-scripts and 8 data-frames. 

* The first R-script, labelled Replication-files-00, contains the analysis from the manuscript article. As such it includes the figures presented in manuscript article, along with the models. 

*  Replication file labelled 01, contains all analysis in Appendix A, regarding the case assignment analysis. 

* Replication file labelled 02, contains all additional analysis in Appendix B, regarding the case duration analysis.

There are 8 different datasets: 

* data-cs.Rdata contains the variables for the case assignment analysis.
* time_data.Rdata contains descriptive statistics on cases and is used to make some of the figures in appendix A. 
* time_data4.Rdata is the finished dataset used to estimate duration models. 
* with_new_DV_time_data.Rdata is a dataset used to estimate an alternative duration model with a new dependent variable, where case completion is estimated as the last day of the hearing until a judgment is produced. 
* Percentage_of_men_and_women_on_ICs.Rdata is data from European Institute of Gender Equality (EIGE) and is used to make Figure 2. 
* Percentage_of_women_chief_justices_on_high_courts.Rdata is data from EIGE and is used to make Figure 2. 
* Percentage_of_women_on_high_courts.Rdata is data from EIGE and is used to make Figure 1. 
* background_judges.Rdata contain data on the background of judges as presented in Table 8 in Appendix A7. Note that the table is just a presentation of the dataset as it is viewed when loading it into R. 


# Variables 
Here I give a brief description of the variables included in the two analysis' in the paper.


### Case duration 
This is the dependent variable and is measured as the number of days from a case is registered until it receives a decision. 

### Gender 
The main independent variable is gender and flags female judges in the dataset as 1, and male judges as 0. 

### Case importance 
This variables is constructed as follows. Cases decided by 5 or fewer judges is denoted as 0 (less important cases), and cases decided by more than 5 judges is denoted 1 (important cases). 

### Judges appointing member state 
This variable denotes the member state that appointed the judge. In the analysis this is member state fixed effects.

### Age
Judges' age estimates judges age at the time of case registration and is constructed by taking the registration year of the case minus judges birth year. 

### Time in court 
Judges' time in court is constructed by taking the year of case registration minus the year the judge was appointed. 

### Judges' background 
I include several background variables in the analysis: Former GC judge, former AG, former lawyer, former judge, former civil servant, former academic and former politician. All of these variables flags judges that has this work experience. The variables are not mutually exclusive. 

### Workload 
The variable captures the number of yearly deliberations a judge is part of the year the case in question is decided. 

### Count policy areas 
This variable counts the number of policy areas the case pertain to. 

### Policy area dummies 
This variable simply captures the policy area the case relates to. This variable is a categorical.

### Number of citations
This variable counts the number of citations included in each judgment. 

### Court procedure
In my data I have cases relating to three types of procedures: preliminary references, direct actions and appeals. In the duration analysis I only include preliminary references and direct actions as appeal cases have missing on one variable (case with hearing). In the case assignment models I include all cases. 

### Case with hearing 
This variable is binary and flags cases that included a hearing. 

### Case assignement 
This variable is the dependent variable in the case assignment models. The variable flags which cases was assigned to a judge. 

